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United States Department of Agriculture (USDA) 2011

SIMULATION OF SOIL TEMPERATURES AT A SEMI-ARID SITE

Soil Temperature Semi-Arid

United States Department of Agriculture (USDA) Research, Education & Economics Information System (REEIS)

Titre : SIMULATION OF SOIL TEMPERATURES AT A SEMI-ARID SITE

Identification : ARZT-1364140-H21-112

Pays : Etats Unis

Durée : Oct 1, 2011 à Jan 31, 2013

Domaine : Appraisal of Soil Resources ; Soil ; Climate ; Meteorology and climatology

Partenaire : UNIVERSITY OF ARIZONA 888 N EUCLID AVE TUCSON,AZ 85719-4824

Objectifs
The goal is to develop techniques for simulating temperature variations at relatively deep depths within soil. The first objective is to evaluate the accuracy of an analytic solution to the one-dimensional heat conduction equation for simulating daily soil temperatures at 3-m and 5-m depths based upon observed daily soil temperatures at shallower depths at a semi-arid site at the Page Ranch near Oracle, Arizona. The second objective is to evaluate the accuracy of a numerical model of the surface energy budget for simulating daily surface & subsurface soil temperatures at Page Ranch.

Descriptif
The first step in the methods will be to prepare daily input data within an Excel spreadsheet. For use in evaluating the analytic approach of Matthias and Warrick (1987) we will compile the data from the Page Ranch weather station collected from July 1, 1983 to June 30, 1984. We will use Costat statistics software because it has the capability to process data sets with missing values. The analysis and simulation of temperatures will be based upon the following assumptions and theoretical framework from Matthias and Warrick (1987). The second physically-based approach to be tested for simulation of soil temperatures at the Page Ranch location is described by Matthias (1990). Simulated soil temperatures will be compared with the soil temperatures at 0.5, 1, 3 and 5 m depths observed from July 1, 1983 to June 30, 1984. The data input to the approach will be the daily weather values (air temperature, wind speed, solar radiation, & rainfall) from the CSI weather station. Estimates of soil physical properties, such as thermal diffusivity and surface albedo will also be used.

Présentation : USDA

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